摘要
为研究机载火控系统多传感器数据融合的方法。采用了用于多目标多传感器航迹数据融合的改进的卡尔曼滤波算法 ,运用假设检验理论 ,充分考虑了位置数据互联的正确性和目标信号的历史信息 ,使其性能不随目标数目的增大而变差。计算机仿真表明 :所建立的系统运行可靠 ;所采用的算法具有处理速度快。
To research the methods of data amalgamation for fire control system multisensor,a improved Kalman filtering algorithm was adopted. The algorithm based on the probability of correct location data association and historical data of the targets. A recurrence algorithm was given.The simulation results show that the system ran reliably,and the algorithm has many virtues such as high speed and precision.
出处
《青岛大学学报（自然科学版）》
CAS
2002年第2期13-15,共3页
Journal of Qingdao University(Natural Science Edition)
